气候变化领域集成服务门户(CCPortal): An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics

CCPortal

DOI	10.3390/rs70506358
	An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics
	Lu, Hui; Yang, Kun; Koike, Toshio; Zhao, Long; Qin, Jun
通讯作者	Lu, H (通讯作者)
发表日期	2015
ISSN	2072-4292
起始页码	6358
结束页码	6379
卷号	7 期号:5
英文摘要	The paper reports the recent progress in the radiative transfer model (RTM) development, which serves as the observation operator of a Land Data Assimilation System (LDAS), and its validation at two Planetary Boundary Layer (PBL) stations with different weather and land cover conditions: Wenjiang station of humid and cropped field and Gaize station of arid and bare soil field. In situ observed micrometeorological data were used as the driven data of LDAS, in which AMSR-E brightness temperatures (TB) were assimilated into a land surface model (LSM). Near surface soil moisture content output from LDAS, together with the one simulated by a LSM with default parameters, were compared to the in-situ soil moisture observation. The comparison results successfully validated the capability of LDAS with new RTM to simulate near surface soil moisture at various environments, supporting that LDAS can generally simulate soil moisture with a reasonable accuracy for both humid vegetated fields and arid bare soil fields while the LSM overestimates near surface soil moisture for humid vegetated fields and underestimates soil moisture for arid bare soil fields.
关键词	SURFACE SOIL-MOISTURE PROCESS RADIOBRIGHTNESS MODEL MICROWAVE DIELECTRIC BEHAVIOR GENERAL-CIRCULATION MODELS AMSR-E COUPLED HEAT BRIGHTNESS TEMPERATURES PARAMETERIZATION SIB2 ATMOSPHERIC GCMS TIBETAN PLATEAU
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000357596900027
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258575
推荐引用方式 GB/T 7714	Lu, Hui,Yang, Kun,Koike, Toshio,et al. An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics[J]. 中国科学院青藏高原研究所,2015,7(5).
APA	Lu, Hui,Yang, Kun,Koike, Toshio,Zhao, Long,&Qin, Jun.(2015).An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics.REMOTE SENSING,7(5).
MLA	Lu, Hui,et al."An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics".REMOTE SENSING 7.5(2015).